Joseph Kastner

Vice President Technology Services at Neudesic

Joseph Kastner has a diverse work experience spanning over several years. Joseph is currently working at Neudesic as the Vice President of Technology Services, a role they started in July 2023. Before that, they held various positions within Neudesic, including Director of Technology Services, Director of Client Solutions, and Director of Data and AI. In these roles, they showcased their expertise in data management solutions and helped guide companies in unlocking business value through their data.

Prior to Neudesic, Joseph worked at Con Edison, starting in 2008. Joseph held several roles during their time there, including Analytics Lead - Digital Factory, Business Intelligence Manager, Special Project Manager, Field Operations Planner, Operating Supervisor, and Management Associate. In these positions, they showcased their leadership and problem-solving skills, implementing projects to improve processes and increase efficiencies. Joseph also completed the Growth Opportunities for Leadership Development (GOLD) program during their time at Con Edison.

Overall, Joseph Kastner has a strong background in technology services, data management, analytics, and leadership.

Joseph Kastner completed their Bachelor's degree in Mechanical Engineering from Rutgers University, graduating in 2008. In addition to their formal education, they have obtained several certifications, including "DP-200 Implementing an Azure Data Solution" from Microsoft in July 2020, "Applied Data Science with Python" from Coursera - University of Michigan in November 2019, "Applied Social Network Analysis in Python" from Coursera - University of Michigan in November 2019, "Applied Text Mining in Python" from Coursera - University of Michigan in November 2019, "Applied Machine Learning in Python" from Coursera - University of Michigan in October 2019, "Applied Plotting, Charting & Data Representation in Python" from Coursera - University of Michigan in September 2019, "Introduction to Data Science in Python" from Coursera - University of Michigan in September 2019, "Analyzing and Visualizing Data with Power BI" from Microsoft in February 2018, and "Querying Data with Transact-SQL" from Microsoft in December 2017.

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